首页 | 本学科首页   官方微博 | 高级检索  
     检索      

线性混合小波基图像去噪研究
引用本文:罗聪,龚昌来,杨冬涛.线性混合小波基图像去噪研究[J].嘉应学院学报,2009,27(3):34-38.
作者姓名:罗聪  龚昌来  杨冬涛
作者单位:嘉应学院,电子信息工程学院,广东,梅州,514015
基金项目:梅州市科技计划重点项目 
摘    要:基于线性混合小波基的阈值去噪是一种有效的图像去噪方法,它将多个不同特性的正交小波基进行线性混合构成一个新的小波基,该混合基兼有多个小波基的特性,能较好地表示复杂图像信号,从而有效地提高了去噪效果。该方法中混合系数的选择十分重要,它对混合基的去噪效果有重要的影响。本文首先介绍了线性混合小波基图像去噪的原理,然后在总结实验结果的基础上,提出了一种两个小波基混合的混合系数选择方法,并以其为基础实现两个以上的多个小波基混合。大量的实验表明,用该方法选择的混合系数,混合基的去噪效果良好。

关 键 词:小波去噪  线性混合小波基  混合系数  小波紧支集

Study of Image Denoising Based on Linear Mixed Wavelet Base
LUO Cong,GONG Chang-lai,YANG Dong-tao.Study of Image Denoising Based on Linear Mixed Wavelet Base[J].Journal of Jiaying University,2009,27(3):34-38.
Authors:LUO Cong  GONG Chang-lai  YANG Dong-tao
Institution:LUO Cong , GONG Chang - lai, YANG Dong - tao (School of Electronics & Information Engineering, Jiaying University, Meizhou 514015, China )
Abstract:Image denoising based on linear mixed wavelet base is an efficient method. Since the wavelet base is onstructed by linear mixing with multi different orthogonal wavelet bases, the base has property of multi wavelet baes, so it can better express complex image signal and enhance the image denoising effect. The mixed coefficients se- ection is very important because it imposes great effect to the noise reduction of mixed wavelet base. At first, the asic theory of image denoising based on lineer mixed wavelet base is introduced. Then, based on the experiment esults, a mixed coefficients selection method of two wavelet bases is proposed, and more than two of wavelet bases nixing are realized. Experiment results show that this selection method can obtain better image denoising effect.
Keywords:wavelet denoising  linear mixed wavelet base  mixed coefficient  wavelet compact support set
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号